22 Oct
|
Kinvie
|
Toronto
Join a Challenger
At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions.
We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences.
What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward.
If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity.
We can’t wait to get to know you
The Work
The Senior Director, AI Enablement & Platforms is a senior enterprise leader within the Enterprise AI team, accountable for making approved AI capabilities accessible, governed, reliable, supportable and adoptable at scale across EQB. The role leads enterprise AI enablement and adoption, and provides stewardship of the platforms and operating services that underpin a trusted employee and developer experience. The role sets the strategy and operating model for AI platform onboarding, access, service management, support, reliability, observability, lifecycle management, vendor coordination and cost transparency. It partners with Data & AI Governance, AI Engineering, AI Architecture, Cybersecurity, Risk, Privacy, Legal, Infrastructure and business teams to scale AI responsibly and securely without duplicating their accountabilities. The role leads the Manager, AI Platform Operations and Manager, AI Enablement, combining operational excellence with workforce readiness, learning pathways, reusable enablement patterns,
communities of practice, communications and stakeholder engagement. Success is measured through responsible adoption, service health, user experience, control effectiveness, productivity and demonstrable business value—not through hands-on solution engineering or innovation-lab delivery.
Enterprise AI Enablement and Adoption
- Lead the enterprise AI enablement strategy and roadmap, translating EQB priorities into practical adoption, readiness and change plans for employees, developers and leaders.
- Establish scalable learning pathways, role-based guidance, reusable enablement patterns, communities of practice, champion networks, communications and engagement mechanisms that build AI fluency and responsible use.
- Partner with business and Technology leaders to identify adoption barriers, prepare teams for recent AI-enabled ways of working and embed approved capabilities into day-to-day workflows.
- Define the end-to-end enablement experience – from discovery and intake through onboarding, learning, support, adoption and continuous improvement – using user feedback and service data to improve outcomes.
- Measure adoption quality, user experience, productivity and value realization; distinguish meaningful, sustained use from access or activity alone and provide transparent reporting to senior stakeholders.
AI Platform Strategy, Stewardship and Operations
- Own enterprise stewardship and the service operating model for EQB’s evolving portfolio of approved AI platforms and tools, including productivity copilots, developer copilots, cloud AI services, agentic AI frameworks and approved commercial solutions.
- Set platform roadmaps and service expectations in partnership with AI Architecture and AI Engineering, balancing enterprise reuse, user needs, resilience, security, control requirements, vendor direction and total cost of ownership.
- Oversee platform onboarding, environment readiness, identity and access processes, service catalogue entries, support pathways, incident and problem management, change and release coordination, knowledge management, capacity and continuity planning.
- Establish operational telemetry, observability, service-health reporting and escalation practices covering availability, performance, usage, cost, reliability and – in partnership with accountable teams – quality and safety signals for production AI services.
- Lead platform and tool lifecycle management, including intake, fit-for-purpose assessment, onboarding readiness, controlled change, rationalization, renewal coordination and retirement, while maintaining clear ownership and supportability.
- Coordinate AI-focused vendor relationships, service reviews, licensing and consumption management, and platform FinOps. Partner with Procurement, Finance and third-party risk functions where their formal accountabilities apply.
- Maintain sufficient breadth across platforms such as Microsoft 365 Copilot, Microsoft Foundry, GitHub Copilot, Google Cloud AI services, approved third-party tools and agentic
📌 Senior Director, AI Enablement (Toronto)
🏢 Kinvie
📍 Toronto